Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DF722A72731423B58A0343EEBE7612F5D512903DA75217ACE778432CB389DED8972AC5 |
|
CONTENT
ssdeep
|
192:QoroB6CJ54t94qbaUw3BxKXMvgzCBgsiMXwAN6fTCGku9cuGRmKbMpBXp7sfgg8B:QioCBwRYcvZBIEwAN6fmsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
972a55aa75aa5583 |
|
VISUAL
aHash
|
071f3f037f1f7f1e |
|
VISUAL
dHash
|
4d656037c171d172 |
|
VISUAL
wHash
|
07191f037f0b7f14 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4d656037c171d172 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 490 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.